A self-synchronization control method and system for wind power converters

Abstract

This invention relates to the field of converter control technology, and discloses a self-synchronization control method and system for wind power converters. The method includes: acquiring wind speed data of the wind turbine generator within a preset period; determining the current optimal wind turbine speed based on the wind speed data within the preset period; calculating the damping power of the wind turbine generator; determining a self-synchronization control strategy for the converter based on the damping power and the current optimal wind turbine speed; acquiring the voltage data of the wind turbine generator after self-synchronization control; and correcting the self-synchronization control strategy of the converter based on the voltage data of the wind turbine generator after self-synchronization control. This invention, based on a model, obtains the self-synchronization control strategy of the converter through the damping power and speed of the wind turbine generator, which can effectively improve the inertial response of the wind turbine generator and ensure the safe and stable operation of the power system.

Description

Technical Field

[0001] This application relates to the field of converter control technology, and more specifically, to a self-synchronization control method and system for wind power converters. Background Technology

[0002] With the increasing prominence of environmental and energy issues, new energy technologies, represented by wind power, have been widely applied and developed rapidly. However, while bringing clean energy, wind power also poses challenges to the safe and stable operation of the power system. Traditional wind turbines based on phase-locked synchronization do not respond to changes in grid frequency, thus lacking inertial response capability. Therefore, the gradual replacement of traditional thermal power units by wind turbines will lead to a decrease in system inertia, thereby threatening the frequency stability of the system.

[0003] Existing wind turbines use self-synchronization control technology to control the converter, but it is difficult to balance inertial response and differential mode oscillation damping effect, resulting in poor power system stability. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a self-synchronization control method and system for wind power converters, comprising:

[0005] Obtain wind speed data of the wind turbine within a preset period, and determine the current optimal wind turbine speed based on the wind speed data of the wind turbine within the preset period;

[0006] Calculate the damping power of the wind turbine and determine the self-synchronization control strategy of the converter based on the damping power of the wind turbine and the current optimal wind turbine speed;

[0007] The voltage data of the wind turbine after self-synchronization control is obtained, and the self-synchronization control strategy of the converter is modified based on the voltage data of the wind turbine after self-synchronization control.

[0008] Furthermore, determining the current optimal wind turbine speed based on wind speed data of the wind turbine within a preset period includes:

[0009] The wind speed change is determined based on the wind speed data of the wind turbine within a preset period, and the wind speed change curve is plotted based on the wind speed change.

[0010] The wind speed variation curve is preprocessed, and the current optimal wind turbine speed is determined based on the optimal speed formula and the preprocessed wind speed variation curve.

[0011] The optimal speed formula is as follows:

[0012] S = KV n

[0013] Where S is the optimal fan speed, K and n are preset control coefficients, and V is the average wind speed of the pre-processed wind speed variation curve.

[0014] Furthermore, the preprocessing of the wind speed variation curve includes:

[0015] Obtain a preset sliding time window, and divide the wind speed change curve according to the preset sliding time window to obtain several sub-wind speed change curves;

[0016] Calculate the average value of the sub-wind speed variation curves, and plot the average value variation curve based on the average value of the sub-wind speed variation curves;

[0017] Connect the first and last points in the average change curve to obtain the average trend line, and calculate the distance between the remaining points in the average change curve and the average trend line.

[0018] Filter out the average values ​​with distance values ​​greater than the first preset threshold, and remove the abnormal sub-wind speed change curves corresponding to the filtered average values;

[0019] The wind speed variation curves after removing the abnormal sub-wind speed variation curves are filled in to obtain the final wind speed variation curves.

[0020] Furthermore, the calculation of the damping power of the wind turbine includes:

[0021] Obtain the current AC grid frequency at the wind turbine grid connection point, filter the AC grid frequency, and obtain the filtered AC grid frequency.

[0022] Calculate the difference between the current internal electromotive force frequency reference value of the wind turbine and the frequency of the filtered AC grid. Multiply the difference between the current internal electromotive force frequency reference value of the wind turbine and the frequency of the filtered AC grid by the damping coefficient to obtain the current damping power.

[0023] Furthermore, the determination of the converter self-synchronization control strategy based on the damping power of the wind turbine and the current optimal wind turbine speed includes:

[0024] Obtain the historical damped power and speed of the wind turbine and the corresponding converter self-synchronization control strategy, and establish a training sample set based on the historical damped power and speed of the wind turbine and the corresponding converter self-synchronization control strategy.

[0025] An initial self-synchronization control model is established based on the training sample set, and the initial self-synchronization control model is trained to obtain a trained self-synchronization control model.

[0026] The optimal wind turbine speed and damping power of the wind turbine are input into the trained self-synchronization control model, and the self-synchronization control strategy of the converter is output.

[0027] Furthermore, the step of modifying the self-synchronization control strategy of the converter based on the voltage data of the wind turbine after self-synchronization control includes:

[0028] The voltage change is determined based on the voltage data of the wind turbine after self-synchronization control, and the voltage change curve is plotted based on the voltage change.

[0029] Obtain the rolling time window, and divide the voltage change curve according to the rolling time window to obtain several sub-voltage change curves;

[0030] Calculate the absolute value of the slope of the sub-voltage change curve, and calculate the average slope based on the absolute values ​​of the slopes of all sub-voltage change curves;

[0031] Abnormal sub-voltage change curves with a slope absolute value and slope average value greater than a second preset threshold are selected. The voltage abnormality frequency of the wind turbine is determined based on the abnormal sub-voltage change curves. The self-synchronization control strategy of the converter is then adjusted based on the voltage abnormality frequency.

[0032] Furthermore, determining the voltage anomaly frequency of the wind turbine based on the abnormal sub-voltage change curve includes:

[0033] Obtain preset sub-time periods, divide the voltage change curves according to the preset sub-time periods, and count the number of abnormal sub-voltage change curves in each preset sub-time period;

[0034] The ratio of the number of abnormal sub-voltage change curves in a preset sub-period to the total number of sub-voltage change curves in the preset sub-period is calculated to obtain the abnormality ratio for each preset sub-period.

[0035] The sum of the abnormal ratios for all preset sub-time periods is calculated to obtain the voltage abnormality frequency of the wind turbine.

[0036] Furthermore, the step of determining whether to modify the self-synchronization control strategy of the converter based on the frequency of voltage anomalies includes:

[0037] Obtain the preset standard abnormal frequency, calculate the difference between the voltage abnormal frequency of the wind turbine and the preset standard abnormal frequency, and determine whether the difference between the voltage abnormal frequency and the preset standard abnormal frequency is greater than the third preset threshold.

[0038] If the difference between the voltage abnormal frequency and the preset standard abnormal frequency is greater than the third preset threshold, the self-synchronization control strategy will be corrected according to the voltage abnormal frequency.

[0039] If the difference between the voltage abnormal frequency and the preset standard abnormal frequency is less than or equal to the third preset threshold, then determine whether the difference between the voltage abnormal frequency and the preset standard abnormal frequency is greater than the fourth preset threshold.

[0040] If the difference between the abnormal voltage frequency and the preset standard abnormal frequency is greater than the fourth preset threshold, the self-synchronization control strategy will not be corrected.

[0041] Furthermore, the modification of the self-synchronization control strategy based on the voltage anomaly frequency includes:

[0042] The self-synchronization control strategy of the converter is modified according to the self-synchronization correction formula, which is specifically as follows:

[0043]

[0044] Where T is the corrected converter drive signal, T′ is the converter drive signal of the self-synchronization control strategy, W is the voltage abnormal frequency, W′ is the preset standard abnormal frequency, R is the preset range coefficient, and exp is the natural exponential function.

[0045] To achieve the above objectives, the present invention also provides a wind power converter self-synchronization control system, comprising:

[0046] The first module is used to acquire wind speed data of the wind turbine within a preset period and determine the current optimal wind turbine speed based on the wind speed data of the wind turbine within the preset period.

[0047] The second module is used to calculate the damping power of the wind turbine and determine the converter self-synchronization control strategy based on the damping power of the wind turbine and the current optimal wind turbine speed.

[0048] The third module is used to acquire the voltage data of the wind turbine after self-synchronization control, and to modify the self-synchronization control strategy of the converter based on the voltage data of the wind turbine after self-synchronization control.

[0049] The beneficial effects of this invention are as follows:

[0050] By applying the above technical solutions, this invention accurately obtains the optimal wind turbine speed of the wind turbine unit through the processing of wind speed data. At the same time, it establishes a self-synchronization control strategy for the converter by combining damping power, and corrects the self-synchronization control strategy by using the voltage data of the wind turbine unit after self-synchronization control. This can effectively improve the inertial response of the wind turbine unit and ensure the safe and stable operation of the power system. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0052] Figure 1A flowchart illustrating a wind power converter self-synchronization control method proposed in an embodiment of the present invention is shown.

[0053] Figure 2 The diagram shows the overall structure of a wind power converter self-synchronization control system proposed in an embodiment of the present invention. Detailed Implementation

[0054] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0055] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0056] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0057] This application provides a self-synchronization control method for wind power converters, such as... Figure 1 As shown, it includes:

[0058] S101, Obtain wind speed data of the wind turbine within a preset period, and determine the current optimal wind turbine speed based on the wind speed data of the wind turbine within the preset period;

[0059] In some embodiments of this application, determining the current optimal wind turbine speed based on wind speed data of the wind turbine within a preset period includes: determining the wind speed variation based on the wind speed data of the wind turbine within the preset period; plotting a wind speed variation curve based on the wind speed variation; preprocessing the wind speed variation curve; and determining the current optimal wind turbine speed based on the preprocessed wind speed variation curve using the optimal speed formula; the optimal speed formula is specifically...

[0060] S = KV n

[0061] Where S is the optimal fan speed, K and n are preset control coefficients, and V is the average wind speed of the pre-processed wind speed variation curve.

[0062] In this embodiment, the optimal speed of the fan is obtained from the preprocessed wind speed change curve based on the optimal speed formula, and the fan speed is controlled based on the optimal speed of the fan.

[0063] In some embodiments of this application, the preprocessing of the wind speed variation curve includes: obtaining a preset sliding time window; dividing the wind speed variation curve according to the preset sliding time window to obtain several sub-wind speed variation curves; calculating the average value of the sub-wind speed variation curves; drawing an average value variation curve based on the average value of the sub-wind speed variation curves; connecting the first and last points of the average value variation curve to obtain an average value trend line; calculating the distance between the remaining points of the average value variation curve and the average value trend line; filtering out the average values ​​whose distance values ​​are greater than a first preset threshold; removing the abnormal sub-wind speed variation curves corresponding to the filtered average values; and filling in the wind speed variation curves after removing the abnormal sub-wind speed variation curves to obtain the final wind speed variation curve.

[0064] In this embodiment, by calculating the distance between the remaining points in the average value change curve and the average value trend line, the average value change curve with large fluctuations is screened out, and then abnormal sub-wind speed change curves are obtained and removed. By connecting the data at the left and right ends after removal, the wind speed change curve is filled in to obtain the final wind speed change curve.

[0065] S102, calculate the damping power of the wind turbine, and determine the self-synchronization control strategy of the converter based on the damping power of the wind turbine and the current optimal wind turbine speed;

[0066] In some embodiments of this application, the calculation of the damping power of the wind turbine includes: obtaining the current AC grid frequency at the wind turbine's grid connection point; filtering the AC grid frequency to obtain the filtered AC grid frequency; calculating the difference between the current internal potential frequency reference value of the wind turbine and the filtered AC grid frequency; and multiplying the difference between the current internal potential frequency reference value of the wind turbine and the filtered AC grid frequency by the damping coefficient to obtain the current damping power.

[0067] In some embodiments of this application, determining the converter self-synchronization control strategy based on the damping power of the wind turbine and the current optimal wind turbine speed includes: acquiring the historical damping power and speed of the wind turbine and the corresponding converter self-synchronization control strategy; establishing a training sample set based on the historical damping power and speed of the wind turbine and the corresponding converter self-synchronization control strategy; establishing an initial self-synchronization control model based on the training sample set and training the initial self-synchronization control model to obtain a trained self-synchronization control model; inputting the current optimal wind turbine speed and damping power of the wind turbine into the trained self-synchronization control model, and outputting the converter self-synchronization control strategy.

[0068] In this embodiment, a self-synchronization control model is established based on a deep learning neural network model. The calculated damping power and the optimal wind turbine speed are input into the trained self-synchronization control model, and the converter self-synchronization control strategy is output to improve the inertial response of the wind turbine.

[0069] S103: Obtain the voltage data of the wind turbine after self-synchronization control, and modify the self-synchronization control strategy of the converter based on the voltage data of the wind turbine after self-synchronization control.

[0070] In some embodiments of this application, the step of correcting the self-synchronization control strategy of the converter based on the voltage data of the wind turbine after self-synchronization control includes: determining the voltage change based on the voltage data of the wind turbine after self-synchronization control; plotting a voltage change curve based on the voltage change; obtaining a rolling time window; dividing the voltage change curve into several sub-voltage change curves based on the rolling time window; calculating the absolute value of the slope of the sub-voltage change curves; calculating the average slope based on the absolute value of the slope of all sub-voltage change curves; filtering out abnormal sub-voltage change curves whose difference between the absolute value of the slope and the average slope is greater than a second preset threshold; determining the voltage abnormality frequency of the wind turbine based on the abnormal sub-voltage change curves; and determining whether to correct the self-synchronization control strategy of the converter based on the voltage abnormality frequency.

[0071] In this embodiment, the voltage anomaly frequency is calculated by the abnormal sub-voltage change curve where the difference between the absolute value of the slope and the average value of the slope is greater than a second preset threshold. The self-synchronization control strategy of the converter is corrected by the voltage anomaly frequency to ensure the safe and stable operation of the power system.

[0072] In some embodiments of this application, determining the voltage anomaly frequency of the wind turbine based on the abnormal sub-voltage change curve includes: obtaining a preset sub-time period; dividing the voltage change curve according to the preset sub-time period; counting the number of abnormal sub-voltage change curves in each preset sub-time period; calculating the ratio of the number of abnormal sub-voltage change curves in the preset sub-time period to the total number of sub-voltage change curves in the preset sub-time period to obtain the anomaly ratio of each preset sub-time period; and calculating the sum of the anomaly ratios of all preset sub-time periods to obtain the voltage anomaly frequency of the wind turbine.

[0073] In this embodiment, the abnormality ratio of the abnormal sub-voltage change curves in the preset sub-time period is calculated by the ratio of the number of abnormal sub-voltage change curves in the preset sub-time period to the total number of sub-voltage change curves in the preset sub-time period. The voltage abnormality frequency of the wind turbine is calculated by the sum of the abnormality ratios.

[0074] In some embodiments of this application, the step of determining whether to modify the self-synchronization control strategy of the converter based on the voltage anomaly frequency includes: obtaining a preset standard anomaly frequency, calculating the difference between the voltage anomaly frequency of the wind turbine and the preset standard anomaly frequency, and determining whether the difference between the voltage anomaly frequency and the preset standard anomaly frequency is greater than a third preset threshold; if the difference between the voltage anomaly frequency and the preset standard anomaly frequency is greater than the third preset threshold, then the self-synchronization control strategy is modified based on the voltage anomaly frequency; if the difference between the voltage anomaly frequency and the preset standard anomaly frequency is less than or equal to the third preset threshold, then it is determined whether the difference between the voltage anomaly frequency and the preset standard anomaly frequency is greater than a fourth preset threshold; if the difference between the voltage anomaly frequency and the preset standard anomaly frequency is greater than the fourth preset threshold, then the self-synchronization control strategy is not modified.

[0075] In some embodiments of this application, the step of correcting the self-synchronization control strategy based on the voltage anomaly frequency includes: correcting the converter's self-synchronization control strategy according to a self-synchronization correction formula, wherein the synchronization correction formula is specifically...

[0076]

[0077] Where T is the corrected converter drive signal, T′ is the converter drive signal of the self-synchronization control strategy, W is the voltage abnormal frequency, W′ is the preset standard abnormal frequency, R is the preset range coefficient, and exp is the natural exponential function.

[0078] In this embodiment, the difference between the voltage abnormality frequency and the preset standard abnormality frequency is used to determine whether the self-synchronization control strategy needs to be corrected. When correction is required, the converter drive signal is corrected based on the difference between the voltage abnormality frequency and the preset standard abnormality frequency using the synchronization correction formula, thereby improving the inertial response effect of the wind turbine and ensuring the safe and stable operation of the power system.

[0079] Based on the same technological concept, such as Figure 2 As shown, the present invention also provides a wind power converter self-synchronization control system, comprising:

[0080] The first module is used to acquire wind speed data of the wind turbine within a preset period and determine the current optimal wind turbine speed based on the wind speed data within the preset period. The second module is used to calculate the damping power of the wind turbine and determine the converter self-synchronization control strategy based on the damping power of the wind turbine and the current optimal wind turbine speed. The third module is used to acquire the voltage data of the wind turbine after self-synchronization control and correct the converter self-synchronization control strategy based on the voltage data of the wind turbine after self-synchronization control.

[0081] By applying the above technical solutions, this invention acquires wind speed data of the wind turbine within a preset period, determines the current optimal wind turbine speed based on this data, calculates the damping power of the wind turbine, and determines the converter self-synchronization control strategy based on the damping power and the current optimal wind turbine speed. It also acquires the voltage data of the wind turbine after self-synchronization control and corrects the converter's self-synchronization control strategy based on this data. This invention, based on a model, derives the converter's self-synchronization control strategy from the wind turbine's damping power and speed, effectively improving the wind turbine's inertial response and ensuring the safe and stable operation of the power system.

[0082] Through the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware or by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) and includes several instructions to cause a computer device (such as a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A self-synchronization control method for a wind power converter, characterized in that, The method includes: Obtain wind speed data of the wind turbine within a preset period, and determine the current optimal wind turbine speed based on the wind speed data of the wind turbine within the preset period; Calculate the damping power of the wind turbine and determine the self-synchronization control strategy of the converter based on the damping power of the wind turbine and the current optimal wind turbine speed; Obtain the voltage data of the wind turbine after self-synchronization control, and modify the self-synchronization control strategy of the converter based on the voltage data of the wind turbine after self-synchronization control. The step of determining the current optimal wind turbine speed based on wind speed data of the wind turbine within a preset period includes: The wind speed change is determined based on the wind speed data of the wind turbine within a preset period, and the wind speed change curve is plotted based on the wind speed change. The wind speed variation curve is preprocessed, and the current optimal wind turbine speed is determined based on the optimal speed formula and the preprocessed wind speed variation curve. The optimal speed formula is as follows: in, To achieve the optimal fan speed, , For preset control coefficients, The average wind speed is the pre-processed wind speed variation curve. The preprocessing of the wind speed variation curve includes: Obtain a preset sliding time window, and divide the wind speed change curve according to the preset sliding time window to obtain several sub-wind speed change curves; Calculate the average value of the sub-wind speed variation curves, and plot the average value variation curve based on the average value of the sub-wind speed variation curves; Connect the first and last points in the average change curve to obtain the average trend line, and calculate the distance between the remaining points in the average change curve and the average trend line. Filter out the average values ​​with distance values ​​greater than the first preset threshold, and remove the abnormal sub-wind speed change curves corresponding to the filtered average values; The wind speed change curves after removing the outlier sub-wind speed change curves are filled in to obtain the final wind speed change curves. The calculation of the damping power of the wind turbine includes: Obtain the current AC grid frequency at the wind turbine grid connection point, filter the AC grid frequency, and obtain the filtered AC grid frequency. Calculate the difference between the current internal electromotive force frequency reference value of the wind turbine and the frequency of the filtered AC grid. Multiply the difference between the current internal electromotive force frequency reference value of the wind turbine and the frequency of the filtered AC grid by the damping coefficient to obtain the current damping power. The process of determining the converter self-synchronization control strategy based on the damping power of the wind turbine and the current optimal wind turbine speed includes: Obtain the historical damped power and speed of the wind turbine and the corresponding converter self-synchronization control strategy, and establish a training sample set based on the historical damped power and speed of the wind turbine and the corresponding converter self-synchronization control strategy. An initial self-synchronization control model is established based on the training sample set, and the initial self-synchronization control model is trained to obtain a trained self-synchronization control model. Input the current optimal wind turbine speed and damping power of the wind turbine into the trained self-synchronization control model, and output the self-synchronization control strategy of the converter. The step of modifying the self-synchronization control strategy of the converter based on the voltage data of the wind turbine after self-synchronization control includes: The voltage change is determined based on the voltage data of the wind turbine after self-synchronization control, and the voltage change curve is plotted based on the voltage change. Obtain the rolling time window, and divide the voltage change curve according to the rolling time window to obtain several sub-voltage change curves; Calculate the absolute value of the slope of the sub-voltage change curve, and calculate the average slope based on the absolute values ​​of the slopes of all sub-voltage change curves; Abnormal sub-voltage change curves with a slope absolute value and slope average value greater than a second preset threshold are selected. The voltage abnormality frequency of the wind turbine is determined based on the abnormal sub-voltage change curves. The self-synchronization control strategy of the converter is then adjusted based on the voltage abnormality frequency.

2. The wind power converter self-synchronization control method according to claim 1, characterized in that, The step of determining the voltage anomaly frequency of the wind turbine based on the abnormal sub-voltage change curve includes: Obtain preset sub-time periods, divide the voltage change curves according to the preset sub-time periods, and count the number of abnormal sub-voltage change curves in each preset sub-time period; The ratio of the number of abnormal sub-voltage change curves in a preset sub-period to the total number of sub-voltage change curves in the preset sub-period is calculated to obtain the abnormality ratio for each preset sub-period. The sum of the abnormal ratios for all preset sub-time periods is calculated to obtain the voltage abnormality frequency of the wind turbine.

3. The wind power converter self-synchronization control method according to claim 2, characterized in that, The step of determining whether to modify the self-synchronization control strategy of the converter based on the frequency of voltage anomalies includes: Obtain the preset standard abnormal frequency, calculate the difference between the voltage abnormal frequency of the wind turbine and the preset standard abnormal frequency, and determine whether the difference between the voltage abnormal frequency and the preset standard abnormal frequency is greater than the third preset threshold. If the difference between the voltage abnormal frequency and the preset standard abnormal frequency is greater than the third preset threshold, the self-synchronization control strategy will be corrected according to the voltage abnormal frequency. If the difference between the voltage abnormal frequency and the preset standard abnormal frequency is less than or equal to the third preset threshold, then determine whether the difference between the voltage abnormal frequency and the preset standard abnormal frequency is greater than the fourth preset threshold. If the difference between the abnormal voltage frequency and the preset standard abnormal frequency is greater than the fourth preset threshold, the self-synchronization control strategy will not be corrected.

4. The wind power converter self-synchronization control method according to claim 3, characterized in that, The modification of the self-synchronization control strategy based on the voltage anomaly frequency includes: The self-synchronization control strategy of the converter is modified according to the self-synchronization correction formula, which is specifically as follows: in, This is the corrected converter drive signal. For converter drive signals with self-synchronization control strategy, For abnormal voltage frequency, To preset the standard anomaly frequency, For the preset range coefficient, It is a natural exponential function.

5. A self-synchronization control system for a wind power converter, characterized in that, The wind power converter self-synchronization control method according to any one of claims 1 to 4 includes: The first module is used to acquire wind speed data of the wind turbine within a preset period and determine the current optimal wind turbine speed based on the wind speed data of the wind turbine within the preset period. The second module is used to calculate the damping power of the wind turbine and determine the converter self-synchronization control strategy based on the damping power of the wind turbine and the current optimal wind turbine speed. The third module is used to acquire the voltage data of the wind turbine after self-synchronization control, and to modify the self-synchronization control strategy of the converter based on the voltage data of the wind turbine after self-synchronization control.

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